Senior · Офис · Сан-Франциско, США · Английский B2
Навыки
AI-агенты
B2B-продажи
FastAPI
GraphQL
Лидерство
LLM
MongoDB
Ещё 9
Мониторинг и observability
Ответственность за результат
152-ФЗ / персональные данные
Pydantic
Python
React
REST API
Жизненный цикл разработки
TypeScript
О компании и продукте
We're a small, early-stage team building an AI-driven pricing and monetization platform for B2B companies — helping them move from static, one-off pricing exercises to a continuously improving, data-informed pricing lifecycle. Our platform spans scenario simulation, willingness-to-pay analysis, smart quoting, and real-time deal coaching.
As a Founding Product Engineer, you'll own entire product modules end-to-end — from scoping with customers through architecture, implementation, and iteration. You'll work shoulder-to-shoulder with leadership and customers, make key architectural decisions, and help establish engineering culture on a small team where every line of code matters. This is a highly hands-on, high-ownership role in San Francisco.
Задачи
Own whole product modules end-to-end: scope requirements with customers, design versioned APIs, build the UI, ship to production, and iterate
Design and evolve architecture for agentic AI systems across Slack bots, terminal UIs, web interfaces, and vendor integrations
Ensure features are drivable by LLM agents via MCP/FastMCP server endpoints and conversational interfaces
Move pricing and business logic off the client into robust backend services to preserve financial fidelity
Extend and maintain a typed pricing ontology (Pydantic models for SKU, Proposition, Persona, Pricing, Customer, Contract, Quote, etc.)
Lead technical discussions and architectural reviews to keep systems robust, extensible, and secure
Establish testing, observability, deployment, and performance monitoring practices for AI-driven features
Mentor peers, influence product strategy, and set engineering best practices and culture
Treat money-handling code as load-bearing infrastructure
prioritize root-cause analysis for production issues
Champion and continuously improve an AI-native SDLC where agents assist with code generation and automated review gates
Требования
8+ years of software engineering experience with a track record of owning and delivering entire product areas at startup or staff-level scope
Deep backend expertise: production experience with FastAPI, Python, and MongoDB (or a closely comparable stack)